RSR Data Completeness Rates, 2010-2020

Data Integration, Systems and Quality (DISQ) Team

These charts show improvements in completeness of data reported by Ryan White grant recipients from 2010 to 2020, measured by known rates for client demographics and clinical information.

The goal of the HRSA HIV/AIDS Bureau for Ryan White Services Report (RSR) data quality is for all providers to have at least 90% known values – that is valid data excluding missing or unknown values – for five critical client-level data elements: federal poverty level, health insurance status, housing status, prescribed ART, and viral load. These data elements are required to establish Ryan White HIV/AIDS Program (RWHAP) eligibility and demonstrate critical HIV health outcomes.

Chart 1: Completeness Rates for Demographic Data Elements Remain High

Providers are reporting complete responses for key demographic data elements. Completeness has improved over the years to nearly 100% for HIV risk factor, housing status, health care coverage, and poverty level, and has been consistent over time.

Figure depicting data completeness for four data elements in the 2020 RSR: HIV Risk Factor (98%); Housing Status (98%); Health Care Coverage (98%); Poverty Level (97%)
Chart 2: Completeness Rates for Clinical Data Elements Have Improved Significantly

This chart shows that although providers initially struggled with reporting viral load test results, CD4 count test results, and prescription of ART, completeness rates from 2010 to 2020 have greatly improved and remained high. However, clinical data reporting was about 2% lower for both viral load and CD4 on the 2020 RSR, which may reflect a drop off in lab tests performed during the COVID-19 pandemic.

Figure depicting data completeness for three data elements: CD4 Test Results (92%); Viral Load Test Results (94%); Prescribed ART (99%)

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